Data Platform Architect at Lam Research
Overview
Lead platform architecture integration and solution design for Palantir in San Francisco. You will own scalable data pipelines and build trusted data assets across enterprise systems. This role focuses on translating business needs into secure reusable solutions while mentoring engineering teams and evaluating emerging technologies. The ideal candidate drives innovation in data governance and platform operations.
What You'll Do7
- 1Design and architect scalable data pipelines in Palantir Foundry for seamless data ingestion transformation and delivery
- 2Develop and maintain robust Palantir Foundry Ontologies to model business entities and workflows
- 3Build end-to-end data workflows using Code Repositories Pipeline Builder and operational applications integrated with Microsoft Fabric Databricks Power BI SQL Python PySpark and cloud data services
- 4Leverage Palantir native capabilities like Foundry Ontology SDK data lineage governance and access controls for secure production-grade assets
- 5Define modular design standards for data security access management performance optimization and scalable deployment within the Palantir ecosystem
- 6Mentor engineering teams promote consistent practices and evaluate technologies that enhance analytics AI enablement automation and platform operations
- 7Partner with business stakeholders product owners and engineering teams to define solution roadmaps and deliver governed operationalized data solutions
Requirements8
- 112+ years of experience in data architecture platform engineering cloud data platforms analytics digital transformation or enterprise data modernization
- 2Deep expertise in Palantir Foundry Ontology Pipeline Builder Code Repositories and operational applications
- 3Strong background with modern data platforms such as Palantir Microsoft Fabric Databricks Snowflake Azure Synapse or equivalent cloud-native ecosystems
- 4Comprehensive knowledge of Palantir ontology modeling lakehouse architecture data warehousing semantic modeling enterprise integration patterns and operational analytics
- 5Hands-on experience with Palantir security governance frameworks including user access management data lineage SQL data modeling ETL ELT Python PySpark and enterprise analytics solutions
- 6Familiarity with SAP MES Kinaxis supply chain planning manufacturing service systems APIs or operational databases preferred
- 7Strong understanding of data governance lifecycle metadata lineage access control and data quality frameworks
- 8Bachelor’s degree in Computer Science Information Technology MIS Data Science Analytics or related field with Master’s or PhD preferred
Salary Insight
$137 - $287k per year
Location
Required Skills
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